The potential of artificial intelligence (AI) to simplify existing healthcare processes and create new, more efficient ones is a major topic of discussion in the industry. Yet healthcare lags other industries in AI adoption. In this paper, we estimate that wider adoption of AI could lead to...

A number of articles are increasingly raising awareness on the different uses of artificial intelligence (AI) technologies for customers and businesses. Many authors discuss about their benefits and possible challenges. However, for the time being, there is still limited research focused on AI...

This article explores the ethical problems arising from the use of ChatGPT as a kind of generative AI and suggests responses based on the Human-Centered Artificial Intelligence (HCAI) framework. The HCAI framework is appropriate because it understands technology above all as a tool to empower,...

This article presents the findings of a survey conducted in Slovenia, encom- passing a random sample of 275 enterprises, to analyze the factors influ - encing the transition to an agile approach, the AI-supported organizational culture, AI-enabled workload reduction, and AI-enabled performance...

We study the early adoption and diffusion of five AI-related technologies (automated-guided vehicles, machine learning, machine vision, natural language processing, and voice recognition) as documented in the 2018 Annual Business Survey of 850,000 firms across the United States. We find that...

Due to the rapid advancement in electronic commerce technology, credit and debit cards theft have increased. As credit/debit card becomes the most popular mode of payment for both online and regular purchase in Nigeria, cases of fraud keeps increasing. Financial fraud has increased significantly...

The metaverse as it is currently envisioned – a persistent and immersive world based on virtual and augmented reality – is an immense business opportunity across all major sectors and industries and will further increase the volume and variety of available data. Those unlimited data streams...

While Artificial Intelligence (AI) has been in existence since the Seminal work of Newell and Simon (1956), it still represents one of the significant breakthroughs that offer the opportunity for digital transformation and automation across a wide variety of industries. As defined by Colosimo et...

A key challenge facing the use of Machine Learning (ML) in operational selection settings (e.g., the processing of loan or job applications) is the potential bias against (racial and gender) minorities. To address this challenge, a rich literature of Fairness-Aware ML (FAML) algorithms has...

The advancement of Artificial Intelligence (AI) is progressing rapidly, compelling companies to integrate it within their operational frameworks to sustain competitiveness, primarily driven by its impact on organizational agility (OA). Nevertheless, the absence of a robust theoretical framework...